3 citations · 3 across the 3 of their papers we have counts for
5 papers
Nonparametric estimation of highest density regions for COVID-19
Paula Saavedra-Nieves
Highest density regions refer to level sets containing points of relatively high density. Their estimation from a random sample, generated from the underlying density, allows to de…
On systems of quotas based on bankruptcy with a priori unions: estimating random arrival-style rules
A. Saavedra-Nieves, P. Saavedra-Nieves
This paper addresses a sampling procedure for estimating extensions of the random arrival rule to those bankruptcy situations where there exist a priori unions. It is based on simp…
Nonparametric estimation of directional highest density regions
Paula Saavedra-Nieves, Rosa María Crujeiras
Reconstruction of sets from a random sample of points intimately related to them is the goal of set estimation theory. Within this context, a particular problem is the one related…
Extent of occurrence reconstruction using a new data-driven support estimator
A. Rodríguez-Casal, P. Saavedra-Nieves
Given a random sample of points from some unknown distribution, we propose a new data-driven method for estimating its probability support S. Under the mild assumption that S is r-…
Minimax Hausdorff estimation of density level sets
Alberto Rodríguez-Casal, Paula Saavedra-Nieves
Given a random sample of points from some unknown density, we propose a data-driven method for estimating density level sets under the r-convexity assumption. This shape condition…